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20152026
most citedA Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

1k citations · 2.9k across the 117 of their papers we have counts for

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Showing 2024Show all

16 papers · 1 filter

cs.CR2024★ 2 cited

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption

Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang +3

This work proposes a novel privacy-preserving cyberattack detection framework for blockchain-based Internet-of-Things (IoT) systems. In our approach, artificial intelligence (AI)-d…

cs.CV2024

Point Cloud Compression with Bits-back Coding

Nguyen Quang Hieu, Minh Nguyen, Dinh Thai Hoang +2

This paper introduces a novel lossless compression method for compressing geometric attributes of point cloud data with bits-back coding. Our method specializes in using a deep lea…

cs.HC2024★ 3 cited

Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins

Chen Shang, Jiadong Yu, Dinh Thai Hoang

The integration of immersive communication into a human-centric ecosystem has intensified the demand for sophisticated Human Digital Twins (HDTs) driven by multifaceted human data.…

cs.NI2024★ 1 cited

Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning

Nguyen Van Huynh, Bolun Zhang, Dinh-Hieu Tran +5

Spectrum access is an essential problem in device-to-device (D2D) communications. However, with the recent growth in the number of mobile devices, the wireless spectrum is becoming…

eess.SP2024

A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing

Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen

The ability to estimate 3D movements of users over edge computing-enabled networks, such as 5G/6G networks, is a key enabler for the new era of extended reality (XR) and Metaverse…

cs.CR2024

Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks

Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang +1

This paper aims to propose a novel framework to address the data privacy issue for Federated Learning (FL)-based Intrusion Detection Systems (IDSs) in Internet-of-Vehicles(IoVs) wi…